Overview: Data science conferences in 2026 will focus heavily on real-world AI applications and enterprise analytics.These ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

ZDNET's key takeaways Data mobility is essential for optimizing process flow and organizational health. System integration is ...

DataScience.com has rolled out extensive new features to accommodate the requirements of enterprise data science teams including deployment of the platform on-premise and across multiple public cloud ...

Proprietary solutions, once the mainstay of enterprise data science, are now being eclipsed by open source projects like R, Spark, and TensorFlow. There are several reasons for this trend: Open source ...

Within the tech community, AI was the topic in 2024. It was also a year in which people and organizations tried to make sense of the fast-evolving AI landscape, understand its utility and identify ...

Engine Data Science, LLC, a leading data and analytics platform purpose-built for the retail and CPG ecosystem, today ...

Shashank Kadetotad is the Global Senior Director of Enterprise Data Science and AI Delivery at Mars, where he oversees the implementation of AI across the company's consumer goods operations. His work ...

Nurketin Savas is the Vice President and Head of Enterprise Data Science at Capital One. Nurtekin leads the Enterprise Data Science team at Capital One, building, deploying, and managing machine ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...